debian-mirror-gitlab/doc/ci/examples/test-and-deploy-python-application-to-heroku.md
2017-09-10 17:25:29 +05:30

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## Test and Deploy a python application
This example will guide you how to run tests in your Python application and deploy it automatically as Heroku application.
You can checkout the example [source](https://gitlab.com/ayufan/python-getting-started) and check [CI status](https://gitlab.com/ayufan/python-getting-started/builds?scope=all).
### Configure project
This is what the `.gitlab-ci.yml` file looks like for this project:
```yaml
test:
script:
# this configures Django application to use attached postgres database that is run on `postgres` host
- export DATABASE_URL=postgres://postgres:@postgres:5432/python-test-app
- apt-get update -qy
- apt-get install -y python-dev python-pip
- pip install -r requirements.txt
- python manage.py test
staging:
type: deploy
script:
- apt-get update -qy
- apt-get install -y ruby-dev
- gem install dpl
- dpl --provider=heroku --app=gitlab-ci-python-test-staging --api-key=$HEROKU_STAGING_API_KEY
only:
- master
production:
type: deploy
script:
- apt-get update -qy
- apt-get install -y ruby-dev
- gem install dpl
- dpl --provider=heroku --app=gitlab-ci-python-test-prod --api-key=$HEROKU_PRODUCTION_API_KEY
only:
- tags
```
This project has three jobs:
1. `test` - used to test Django application,
2. `staging` - used to automatically deploy staging environment every push to `master` branch
3. `production` - used to automatically deploy production environmnet for every created tag
### Store API keys
You'll need to create two variables in `Project > Variables`:
1. `HEROKU_STAGING_API_KEY` - Heroku API key used to deploy staging app,
2. `HEROKU_PRODUCTION_API_KEY` - Heroku API key used to deploy production app.
Find your Heroku API key in [Manage Account](https://dashboard.heroku.com/account).
### Create Heroku application
For each of your environments, you'll need to create a new Heroku application.
You can do this through the [Dashboard](https://dashboard.heroku.com/).
### Create runner
First install [Docker Engine](https://docs.docker.com/installation/).
To build this project you also need to have [GitLab Runner](https://about.gitlab.com/gitlab-ci/#gitlab-runner).
You can use public runners available on `gitlab.com`, but you can register your own:
```
gitlab-ci-multi-runner register \
--non-interactive \
--url "https://gitlab.com/" \
--registration-token "PROJECT_REGISTRATION_TOKEN" \
--description "python-3.5" \
--executor "docker" \
--docker-image python:3.5 \
--docker-postgres latest
```
With the command above, you create a runner that uses [python:3.5](https://hub.docker.com/r/_/python/) image and uses [postgres](https://hub.docker.com/r/_/postgres/) database.
To access PostgreSQL database you need to connect to `host: postgres` as user `postgres` without password.